Causal Models for Risk Management
| Autor: | Neysis Hernández Díaz, Maikel Yelandy Leyva, Betsy Cuza García |
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| Jazyk: | Spanish; Castilian |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Revista Cubana de Ciencias Informáticas, Vol 7, Iss 4, Pp 58-74 (2013) |
| Druh dokumentu: | article |
| ISSN: | 1994-1536 2227-1899 |
| Popis: | In this work a study about the process of risk management in major schools in the world. The project management tools worldwide highlights the need to redefine risk management processes. From the information obtained it is proposed the use of causal models for risk analysis based on information from the project or company, say risks and the influence thereof on the costs, human capital and project requirements and detect the damages of a number of tasks without tribute to the development of the project. A study on the use of causal models as knowledge representation techniques causal, among which are the Fuzzy Cognitive Maps (DCM) and Bayesian networks, with the most favorable MCD technique to use because it allows modeling the risk information witho ut having a knowledge base either itemize. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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